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Field
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generating data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass
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a focus on synaptic plasticity, NMDA receptor signaling, 2-photon optogenetics, and advanced 2-photon imaging. We are particularly interested in candidates with strong expertise in whole-cell patch
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an environment of interdisciplinary collaboration. Our areas of expertise include animal health, imaging and diagnostics, infectious disease, cancer, and orthopaedics. The department is highly interactive and
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in in vivo-imaging or -recording, patch-clamp recording, and live cell imaging. Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
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. The Digital and Computational Pathology Laboratory in PCS is seeking a talented and motivated postdoctoral fellow to develop cutting-edge methodologies in computer vision and AI to power whole slide image
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terms of stem and progenitor cell and lineage reprogramming. Studies are at the cellular and molecular level using novel molecular and imaging methodologies to understand processes and cell interactions